Bibliographic record
Abstract
This chapter contains sections titled: Introduction Shipment Consolidation and Dispatching at ExxonMobil Chemical Distribution Management at Pfizer Freight Rail Transportation at Railion Yard Management at the Gioia Tauro Marine Terminal Municipal Solid Waste Collection and Disposal Management at the Regional Municipality of Hamilton-Wentworth Demand Forecasting at Adriatica Accumulatori Distribution Logistics Network Design at DowBrands Container Warehouse Location at Hardcastle Inventory Management at Wolferine Airplane Loading at FedEx Container Loading at Waterworld Air Network Design at Intexpress Bulk-cargo Ship Scheduling Problem at the US Navy Meter Reader Routing and Scheduling at Socal Annotated Bibliography Further Case Studies
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.041 |
| Scholarly communication | 0.019 | 0.019 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".